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A comprehensive survey on program synthesis with evolutionary algorithms
The automatic generation of computer programs is one of the main applications with
practical relevance in the field of evolutionary computation. With program synthesis …
practical relevance in the field of evolutionary computation. With program synthesis …
ChatGPT for education and research: Opportunities, threats, and strategies
In recent years, the rise of advanced artificial intelligence technologies has had a profound
impact on many fields, including education and research. One such technology is ChatGPT …
impact on many fields, including education and research. One such technology is ChatGPT …
An analysis of the automatic bug fixing performance of chatgpt
To support software developers in finding and fixing software bugs, several automated
program repair techniques have been introduced. Given a test suite, standard methods …
program repair techniques have been introduced. Given a test suite, standard methods …
An empirical evaluation of GitHub copilot's code suggestions
N Nguyen, S Nadi - Proceedings of the 19th International Conference on …, 2022 - dl.acm.org
GitHub and OpenAI recently launched Copilot, an" AI pair programmer" that utilizes the
power of Natural Language Processing, Static Analysis, Code Synthesis, and Artificial …
power of Natural Language Processing, Static Analysis, Code Synthesis, and Artificial …
Github copilot ai pair programmer: Asset or liability?
Automatic program synthesis is a long-lasting dream in software engineering. Recently, a
promising Deep Learning (DL) based solution, called Copilot, has been proposed by …
promising Deep Learning (DL) based solution, called Copilot, has been proposed by …
Experiences from using code explanations generated by large language models in a web software development e-book
Advances in natural language processing have resulted in large language models (LLMs)
that can generate code and code explanations. In this paper, we report on our experiences …
that can generate code and code explanations. In this paper, we report on our experiences …
Large language models meet nl2code: A survey
On the robustness of code generation techniques: An empirical study on github copilot
Software engineering research has always being concerned with the improvement of code
completion approaches, which suggest the next tokens a developer will likely type while …
completion approaches, which suggest the next tokens a developer will likely type while …
Is github copilot a substitute for human pair-programming? an empirical study
S Imai - Proceedings of the ACM/IEEE 44th International …, 2022 - dl.acm.org
This empirical study investigates the effectiveness of pair programming with GitHub Copilot
in comparison to human pair-programming. Through an experiment with 21 participants we …
in comparison to human pair-programming. Through an experiment with 21 participants we …